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English(EN) CinemaTraj: Composing Atomic Camera Trajectories for 3D Scenes with LLM Agents

LLM代理为3D场景生成电影级相机路径

研究人员开发了CinemaTraj,一个利用LLM代理为3D场景生成电影级相机轨迹的新框架。该系统接收一组RGB-D图像和一个自然语言提示,将请求分解为原子化的电影运动。通过为LLM配备结构化的3D场景图,CinemaTraj确保生成的轨迹不仅富有表现力且无碰撞,而且还基于场景的几何和语义属性。该框架还生成同步的画外音和字幕,创建完全旁白的电影视频输出。 AI

影响 该框架可以自动化复杂的视觉叙事任务,通过实现更复杂的场景导航,影响房地产、虚拟旅游和内容创作等领域。

排序理由 这是一篇研究论文,详细介绍了一个使用LLM代理生成相机轨迹的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

LLM代理为3D场景生成电影级相机路径

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这是一篇研究论文,详细介绍了一个使用LLM代理生成相机轨迹的新框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Qianru Li, Xuyang Chen, Erkin T\"urk\"oz, Lu Liu, Xuqin Wang, Liqiu Meng, Tao Wu, Yanfeng Zhang ·

    CinemaTraj:使用LLM代理为3D场景组合原子相机轨迹

    arXiv:2607.26910v1 Announce Type: new Abstract: Automatically generating cinematically expressive camera trajectories through 3D scenes from natural language descriptions is a challenging task of high practical value, with applications ranging from real-estate advertising to virt…